Tokenizers and Config classes are referenced.

docs/source/model_doc/transformerxl.rst

@@ -2,14 +2,18 @@ Transformer XL
 ----------------------------------------------------
 
 
+``TransfoXLConfig``
+~~~~~~~~~~~~~~~~~~~~~
+
+.. autoclass:: pytorch_pretrained_bert.TransfoXLConfig
+    :members:
+
+
 ``TransfoXLTokenizer``
 ~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-``TransfoXLTokenizer`` perform word tokenization. This tokenizer can be used for adaptive softmax and has utilities for counting tokens in a corpus to create a vocabulary ordered by toekn frequency (for adaptive softmax). See the adaptive softmax paper (\ `Efficient softmax approximation for GPUs <http://arxiv.org/abs/1609.04309>`_\ ) for more details.
-
-The API is similar to the API of ``BertTokenizer`` (see above).
-
-Please refer to the doc strings and code in `\ ``tokenization_transfo_xl.py`` <./pytorch_pretrained_bert/tokenization_transfo_xl.py>`_ for the details of these additional methods in ``TransfoXLTokenizer``.
+.. autoclass:: pytorch_pretrained_bert.TransfoXLTokenizer
+    :members:
 
 
 12. ``TransfoXLModel``